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New R platform GxEStat streamlines gene-environment interaction analysis

Researchers have developed GxEStat, a new R platform designed to analyze genotype-environment interactions in breeding programs. This integrated framework combines significance and stability evaluations within a single workflow, utilizing mixed-effect modeling to quantify genetic and environmental effects. GxEStat aims to enhance the efficiency, reproducibility, and accessibility of multi-environment trial analysis, with applications demonstrated on real breeding datasets. AI

RANK_REASON The cluster contains an academic paper detailing a new computational framework and software tool. [lever_c_demoted from research: ic=1 ai=0.1]

Read on arXiv cs.CV →

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New R platform GxEStat streamlines gene-environment interaction analysis

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The cluster contains an academic paper detailing a new computational framework and software tool. [lever_c_demoted from research: ic=1 ai=0.1]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Meng'en Qin, Zhe Li, Hui Huang, Xihong Liu ·

    Significance and Stability Analysis of Gene-Environment Interaction using GxEStat

    arXiv:2604.03337v2 Announce Type: replace Abstract: Genotype-environment (GxE) interactions can influence the performance of genotypes across diverse environments, limiting the reliability of genotype evaluation and selection in breeding programs. In-depth analysis of GxE interac…